Local asymptotic coding and the minimum description length

IEEE Transactions on Information Theory

Volumn 45, Issue 4, 1999, Pages 1289-1293

  Foster, Dean P ^a   Stine, Robert A ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CODING ERRORS; PARAMETER ESTIMATION;

LOCAL ASYMPTOTIC CODING; MINIMUM DESCRIPTION LENGTH; UNIVERSAL CODE;

SIGNAL ENCODING;

EID: 0032680981     PISSN: 00189448     EISSN: None     Source Type: Journal    
DOI: 10.1109/18.761287     Document Type: Article

References (9)

1. L. Le Cam and G. Yang, Asymptotics in Statistics. New York: Springer-Verlag, 1990.
2. T. M. Cover and J. A. Thomas, Elements of Information Theory. New York: Wiley, 1991.
3. P. Elias Universal codeword sets and representations of the integers," IEEE Trans. Inform. Theory, vol. IT21, pp. 194-203, 1975.
4. I. A. Ibragimov and R. Z. Has'minskii, Statistical Estimation. New York: Springer, 1981.
5. J. Rissanen A universal prior for integers and estimation by minimum description length," Ann. Statist., vol. 11, pp. 416-431, 1983.
6. _ Minimum description length principle," in Encyclopedia of Statistical Sciences, S. Kotz and N. L. Johnson, Eds. New York: Wiley, 1986, pp. 523-527.
7. _, Stochastic Complexity in Statistical Inquiry. Singapore: World Scientific, 1989.
8. G. Schwarz Estimating the dimension of a model," Ann. Statist., vol. 6, pp. 416-446, 1986.
9. C. S. Wallace and P. R. Freeman Estimation and inference by compact coding," J. Roy. Stat. Soc., Ser. B, vol. 49, pp. 240-252, 1987.